Aedile
Enables AI coding assistants to analyze codebases locally before generating code, reducing duplication and enforcing architecture boundaries.
README
<p align="center"> <img src="images/logo.png" alt="Aedile Logo" width="160"/> </p>
<h1 align="center">Aedile</h1>
<p align="center"> <strong>Before an AI writes code, it should prove that the code deserves to exist.</strong> </p>
<p align="center"> <a href="https://github.com/aaryanrwt/aedile/actions/workflows/ci.yml"> <img src="https://github.com/aaryanrwt/aedile/actions/workflows/ci.yml/badge.svg?branch=release/v1.0-validation" alt="CI Status"/> </a> <a href="https://pypi.org/project/aedile/"> <img src="https://img.shields.io/pypi/v/aedile.svg" alt="PyPI Version"/> </a> <a href="https://pypi.org/project/aedile/"> <img src="https://img.shields.io/pypi/dm/aedile.svg" alt="PyPI Downloads"/> </a> <a href="https://www.python.org/"> <img src="https://img.shields.io/pypi/pyversions/aedile.svg" alt="Python Versions"/> </a> <a href="https://opensource.org/licenses/MIT"> <img src="https://img.shields.io/pypi/l/aedile.svg" alt="License: MIT"/> </a> <a href="https://github.com/astral-sh/ruff"> <img src="https://img.shields.io/badge/code%20style-ruff-000000.svg" alt="Code Style: Ruff"/> </a> </p>
<p align="center"> Aedile is an engineering intelligence layer for AI coding assistants. It analyzes your codebase before implementation begins, helping agents reuse existing code, enforce architecture boundaries, prefer standard libraries, and avoid unnecessary complexity—all without sending a single byte outside your machine. </p>
Claude Code
│
▼
"Build authentication"
│
▼
Aedile MCP
┌────────────────────┐
│ Existing helper? │
│ Stdlib available? │
│ Import cycles? │
│ Layer violation? │
└────────────────────┘
│
▼
Minimal implementation
Why Aedile?
Modern coding assistants know how to write code. They usually don't know your architecture.
That leads to:
- duplicate utilities
- unnecessary dependencies
- circular imports
- broken layering
- inconsistent implementations
Aedile verifies the repository before code generation begins, giving coding assistants real project context instead of relying solely on prompts.
Quick Example
Without Aedile
AI: "I'll install requests."
↓
Repository already has httpx.
↓
Duplicate dependency.
With Aedile
AI: "Repository already uses httpx."
↓
Reuse existing client.
↓
No duplicate dependency.
How It Works
Aedile implements the Model Context Protocol (MCP). The assistant calls a single tool—aedile_consult—before generating any code.
Developer
│
▼
Claude
│
▼
Aedile MCP
│
├── Architecture Verifier
├── Workspace Index
└── Decision Engine
│
▼
Advice
│
▼
Claude
│
▼
Implementation
Aedile never modifies your code. It only observes and advises.
Installation
pip install aedile
Generate the local prompt templates:
python -m aedile compile-rules
Then add python -m aedile as an MCP server in your coding assistant. See SUPPORTED_AGENTS.md for step-by-step guides.
Configuration
Aedile works out of the box with zero configuration. Advanced options are documented in CONFIGURATION.md.
Supported Agents
| Agent | Status |
|---|---|
| Claude Code | ✓ Supported |
| Cursor | ✓ Supported |
| Windsurf | ✓ Supported |
| Continue | ✓ Supported |
Full setup guides are in SUPPORTED_AGENTS.md.
Benchmarks
Benchmarks were measured using identical prompts on the same repository, before and after enabling Aedile.
Environment
- Hardware: Apple M2 Pro, 16 GB RAM
- Python: 3.11
- Agent: Claude 2.1
- Repository: 42 modules, ~8,000 lines of Python
Results
| Metric | Without Aedile | With Aedile |
|---|---|---|
| Reasoning Cost (avg tokens) | 1,850 | 350 |
| Context Window (tokens) | 4,200 | 1,200 |
| Duplicate Code Written | Yes | No |
| Tool Calls Executed | 3 | 1 |
Full methodology and raw data: BENCHMARKS.md.
FAQ
Why not use static prompting (e.g., .cursorrules)?
Static prompts drift. As the context window fills, the model's adherence to static text degrades. Aedile enforces constraints through a live tool interface—the model receives current repository facts on every call, not instructions it may ignore.
Does Aedile require internet access?
No. All scanning, indexing, and analysis runs locally. There is no outbound network traffic and no telemetry.
Documentation
Contributing
Contributions are welcome. Please read CONTRIBUTING.md and CODE_OF_CONDUCT.md before opening a pull request.
License
Aedile is released under the MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.